Detection of Animals for Road Safety Using Deep Learning Method

Wild animals must be monitored effectively and consistently in their natural environments. This project creates an algorithm to find animals in outdoors. The effort of manually recognizing all the various species might be challenging due to their diversity. This method categorizes animals based on their photos so that we can more effectively watch them. Animal tracking, animal accidents, and theft can all be avoided with the use of animal identification and classification. Deep learning algorithms can be used effectively to identify wild people. This process helps to save wild animals and also to prevent vehicles from accidents while crossing the road. The deep learning method alerts the users traveling in vehicles by locating the animals nearby to the vehicles passing the road.